A method including training a machine-learning model, based on historical data, with a maximization problem and one or more minimization problems to improve one or more fairness metrics. The method also can include receiving real-time data. The method additionally can include generating a risk score based on the machine-learning model, as trained, and the real-time data. Other embodiments are described.
Legal claims defining the scope of protection, as filed with the USPTO.
3. The system of claim 1, wherein each of the one or more minimization problems compare a respective protected group against a benchmark group based on a respective one of the one or more fairness metrics.
11. The computer-implemented method of claim 9, wherein each of the one or more minimization problems compare a respective protected group against a benchmark group based on a respective one of the one or more fairness metrics.
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May 30, 2023
March 12, 2024
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